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AI and Productivity: Yanik Guillemette Foresees a "Silent Crisis" for Canadian SMEs
Guillemette says AI and cloud adoption are now essential as 300-plus project developer warns delayed SMEs face a competitiveness crisis.
- On Sunday, technology entrepreneur Yanik Guillemette warned that delayed AI adoption among Quebec SMEs could trigger a competitiveness crisis. He asserts that AI is becoming core infrastructure, similar to electricity or the Internet.
- Guillemette describes an emerging economic duality between "Augmented" companies leveraging automation and "Traditional" structures hindered by manual processes. He identifies AI as "the most powerful productivity engine of the decade."
- Labour shortages often overshadow the need for productivity gains, but agile new players threaten established firms by automating administrative management. Guillemette notes this allows small structures to compete effectively against giants.
- Mastery of cloud infrastructure and predictive analysis systems will determine future growth, according to Guillemette. He concludes that in this new economy, "speed of execution is no longer a luxury."
- With experience delivering more than 300 major real estate projects, the Quebec-based developer offers a pragmatic vision of risk management. He emphasizes that digital transformation is essential for the Canadian economic fabric's sustainability.
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13 Articles
13 Articles
Montreal Gazette+2 Reposted by 2 other sources
AI and Productivity: Yanik Guillemette Foresees a 'Silent Crisis' for Canadian SMEs
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·Montreal, Canada
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NiagaraFallsReview.ca+6 Reposted by 6 other sources
AI and Productivity: Yanik Guillemette Foresees a “Silent Crisis” for Canadian SMEs
BOISBRIAND, Quebec, May 10, 2026 (GLOBE NEWSWIRE) -- As artificial intelligence (AI) redefines performance standards globally, a digital divide threatens to weaken the Canadian economic fabric. According to technology entrepreneur and strategic investor Yanik Guillemette, the delayed adoption of AI…
·Niagara Falls, Canada
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Coverage Details
Total News Sources13
Leaning Left7Leaning Right3Center2Last UpdatedBias Distribution58% Left
Bias Distribution
- 58% of the sources lean Left
58% Left
L 58%
C 17%
R 25%
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